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PhysicsX

Applied Scientist - All Levels

PhysicsX · Singapore

Posted about 2 months ago

or apply directly on PhysicsX's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
PhysicsX's roles stay open a median of 66 days
Reposted
No
Salary listed
No
26% of PhysicsX's roles list one
Ghost-job risk at PhysicsX
high
33 stale, 2 reposted of 42 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from PhysicsX's own greenhouse board since 2026-08-03. Full hiring picture for PhysicsX.

About this role

As an Applied Scientist at PhysicsX, you will work closely with machine learning and simulation engineers to tackle physics and engineering challenges by formulating mathematical problems and building predictive models using advanced machine learning techniques. Your role involves collaborating with customers, communicating findings, and mentoring colleagues while owning research work-streams that vary by seniority. You will also engage in discussions about your work's implications and contribute to publications in reputable venues.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PhysicsX as an employer.

What you need

  • PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field
  • Enthusiasm for using machine learning, especially deep learning and/or probabilistic methods, for science and engineering
  • Strong problem-solving skills and ability to analyze issues quickly
  • Excellent collaboration and communication skills
  • Experience in building machine learning models and pipelines in Python using libraries like NumPy, SciPy, Pandas, PyTorch, JAX
  • Experience developing models for high-dimensional data

Nice to have

  • Ideally, >2 years of experience in a data-driven role
  • Experience with operator learning, geometric deep learning, or generative models for geometry and spatiotemporal data

What you get

  • Opportunity to shape an AI-native engineering company
  • Work with a high-caliber, collaborative team
  • Flat structure that encourages questioning and challenging assumptions
  • Hybrid work model for sustainable work-life balance

Worth weighing

  • No salary or specific benefits listed
  • Focus on research and collaboration may require strong communication skills
  • Expectations for publication may add pressure for some candidates

Summarised from PhysicsX's posting. Read the full original.

Listed by PhysicsX on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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